【影响因子】10.275
【主题类别】
--
【Abstract】When in grid-connected mode of operation, distributed generators (DGs) within the microgrid (MG) can coordinate to act as a single entity to provide services to the bulk grid. The DGs can coordinate their power production to minimize the total operating cost, which is known as the distributed economic dispatch. Various methods have been proposed to solve the MG economic dispatch problem (EDP) in a distributed fashion, under the assumption that DGs' power output, in aggregate, follows a constant or slowly varying power command. However, when the MG is providing frequency regulation service, or the internal load is highly dynamic, the MG EDP becomes dynamic, and the state-of-the-art distributed approaches cannot guarantee optimality. In this paper, we propose a distributed economic dispatch algorithm for MGs providing frequency regulation service, as an example of a dispatch profile with ramp commands. A consensus protocol guaranteeing zero steady-state error for ramp inputs is integrated into the EDP to find the optimal solution in a distributed way. With the proposed algorithm, the MG is able to tightly follow a time-varying regulation signal while maintaining an optimal economic dispatch for all the DGs within. We validate the proposed method using regulation signals from PJM and demonstrate the algorithm on a hardware-in-the-loop testbed.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Consensus algorithm; distributed control; economic dispatch; microgrid; ramp input; regulation service
【发表时间】2023
【收录时间】2023-06-28
【文献类型】
【DOI】 10.1109/TSG.2022.3189534
【影响因子】10.275
【主题类别】
--
【Abstract】High penetration of Photovoltaic (PV) to the distribution network may bring under-voltage and over-voltage issues, limiting the PV hosting capacity. Air conditioners (AC) in grid-interactive buildings can support voltage regulation by manipulating flexible energy consumption. This paper developed a novel voltage control strategy to regulate the AC clusters' on/off states for distribution network voltage regulation under high PV penetrations. The novelty lies in the distributed formulation of temperature priority-based on/off control (TPC) of AC clusters and the strategic selection and permutation of demand response technologies, including the real-time optimal demand response resources dispatch, distributed sensing of ACs based on average consensus algorithm, and the local implementation of TPC strategy and trial calculation scheme for flexibility capacity estimation. Finally, the distributed TPC is validated to be effective for system rebalancing with no comfort violations and an acceptable ON/OFF switching frequency. The theoretical and numerical analysis also proves its scalability and robustness to communication delays and link failures. It is then incorporated into a novel hierarchical control framework for smart grid voltage control in a four-bus three-phase test grid, considering the voltage sensitivities to power injections in different locations and phases.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Average consensus; distributed; temperature priority control; hierarchical voltage control; air conditioners; distribution network
【发表时间】2023
【收录时间】2023-06-28
【文献类型】
【DOI】 10.1109/TSG.2022.3186002
【影响因子】9.018
【主题类别】
--
【Abstract】Distributed Ledger Technology (DLT) refers to multi-party systems that enables saving encrypted data across a peer-to-peer network of nodes, without central authority. While DLT applications have been mainly studied in finance, we conduct empirical research on DLT application in supply chain management, combining theory testing and theory elaborating case research. Applying the Theory of Affordance Actualisation, we identify five DLT affordances: (1) verify product origin and history, (2) exchange data on digital product models, (3) track and trace products' logistics, (4) simplify supply chain finance, and (5) automate payments. We identify and evaluate these affordances and also outline how these affordances can be actualised. We contribute to the discourse of DLT value creation and provide practical guidance to assess DLT potential in supply chains. We integrate our findings into the academic discussion on collaboration in viable, intertwined supply networks.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Affordance; distributed ledger technology (DLT); blockchain; supply chain management; supply chain viability
【发表时间】2023
【收录时间】2023-06-28
【文献类型】
【Author】 Dorahaki, Sobhan Rashidinejad, Masoud Ardestani, Seyed Farshad Fatemi Abdollahi, Amir Salehizadeh, Mohammad Reza
【影响因子】8.857
【主题类别】
--
【Abstract】Energy communities are at the heart of forming sustainable cities. Beside their important role in decarbonization, they can bring economic, and social benefits to the End-users. Based on the Clean Energy Package (CEP) defi-nition in European Union, an energy community is categorized as: Citizen Energy Communities (CECs) and Renewable Energy Communities (RECs). In this regard, modeling an energy management system framework in a Smart Multi-Carrier Energy Network (SMCEN) associated with CECs and RECs is much of interest. In this paper, a two-stage risk-based optimization model is proposed to handle an energy management structure incorporating energy communities. To this purpose, Energy Community Managers (ECMs) of CECs and RECs concurrently solve the problem at the first stage and send the output data to the SMCEN operator. In the second stage, the SMCEN operator solves an optimization problem to maximize its profit considering the SMCEN's constraints. The un-certainties of energy demands as well as on-site generation are modeled by a scenario-based approach, while a risk-modeling technique is employed to handle the SMCEN risk attitudes in multi-carrier energy scheduling. The results verify that the risk attitude of the SMCEN operator is an influential factor to determine the profit of the SMCEN.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Energy community; Clean energy package; Smart multi -carrier energy network (SMCEN); Renewable energy communities (REC); Citizen energy communities (CEC)
【发表时间】2023
【收录时间】2023-06-28
【文献类型】
【Author】 Zhao, Liutao Zhong, Lin Zhang, Jiawan
CCF-B
【影响因子】8.233
【主题类别】
--
【Abstract】Blockchain systems often use public keys or addresses as pseudonym accounts to protect the identity of users. However, as the blockchain system is transparent, an adversary can analyze all the public keys or addresses and obtain some real information about users, making the pseudonym mechanism ineffective. CryptoNote V2.0 is the first blockchain sys-tem to introduce a one-time address technology to enable the true anonymity of a user. But it does not have rigorous security proof. Moreover, due to application requirements, for one thing, users need anonymity. For another, administrators need to trace the identity of anonymous users. Therefore, a traceable one-time address scheme for the interactive sys-tem of digital museum items is proposed to fulfill these concerns. It allows the recipient to receive transactions anonymously, and a supervisor can trace the identity of a user effi-ciently. Two security models are defined and two corresponding instances are constructed. We prove that our instances are secure in IND-PK-CPA/IND-PK-CCA mode, respectively. Analysis and experiments show that the proposed schemes are effective in tracing the long-term identity of a recipient. Finally, the challenges of user privacy protection are enhanced with the advancement of the integration of digital museum asset interactions with blockchain. We build a blockchain system for Digital Museum assets and implement our two scheme instances in it. The system can integrate museum heritage resources around the world, share data based on blockchain, provide a large number of interactions and collections, and achieve large-scale exhibitions.(c) 2023 Elsevier Inc. All rights reserved.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchain; Supervisable; One-time address; Anonymity; Traceability
【发表时间】2023
【收录时间】2023-06-28
【文献类型】
【Author】 Peng, Chuanjun Xia, Jianwei Wang, Jing Shen, Hao
CCF-B
【影响因子】8.233
【主题类别】
--
【Abstract】The optimal consensus problem for nonlinear two-time-scales multi-agent systems with completely unknown system dynamics is investigated in this paper. First, the original system is linearly represented based on the Takagi-Sugeno fuzzy model. Then, the optimal consensus problem for multi-agent systems is transformed into solving the game algebraic Riccati equation associated with agents and their neighbors. And individual agent dynamics studied in this paper are replaced with local error dynamics. Moreover, an offline hybrid iteration algorithm with rapid convergence speed and no initial stable control policy is presented for multi-agent systems. Meanwhile, to avoid the utilization of the knowledge of system matrices, an online hybrid reinforcement learning algorithm that only uses the state and control input data of each agent and its neighbors is given to generate the distributed optimal control policy. The convergence of proposed algorithms is also discussed. Finally, the applicability of the presented method is illustrated by an example.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Fuzzy model method; Multi-agent systems; Two-time-scales; Hybrid reinforcement learning
【发表时间】2023
【收录时间】2023-06-28
【文献类型】
【影响因子】7.307
【主题类别】
--
【Abstract】This paper proposes a privacy-preserving publish-subscribe-based decentralized framework for MCS systems named "Pub-SubMCS". The framework allows data sharing, where requesters can subscribe to an existing data request (task) if their requirements match. Otherwise, they can create a new task with specific requirements on considered parameters. Incorporating the publish-subscribe (pub-sub) service model in a decentralized MCS system saves system entities' sensing and computing resources and the cost of acquiring the data by the requesters. However, the pub-sub service model makes the curse of sensing issues more severe. Pub-SubMCS handles the curse of sensing issues by performing access control using smart contracts, which impose restrictions on data collectors (workers) to publish the data and identify and penalize the malicious workers early. To ensure data privacy and validation simultaneously over blockchain, we perform data transformation enabling the validation algorithm to run over transformed data and thus enhancing trust among the system entities. In particular, we use the normalization technique to transform data and the Pearson correlation coefficient measure to compare the similarity in the collected sensor data. Pub-SubMCS is implemented on the Ethereum blockchain, and solidity programming language is used to create smart contracts. The security analysis and experiment results show the proposed system's scalability, usability, and feasibility. We also demonstrate the effectiveness of the publish-subscribe model against the requester-worker model.(c) 2023 Elsevier B.V. All rights reserved. [Agrawal, Ankit; Choudhary, Sarthak; Bhatia, Ashutosh; Tiwari, Kamlesh] Birla Inst Sci & Technol, Dept CSIS, Jhunjhunu 333031, Rajasthan, India Agrawal, A (通讯作者)，Birla Inst Sci & Technol, Dept CSIS, Jhunjhunu 333031, Rajasthan, India. p20190021@pilani.bits-pilani.ac.in; f20190112@pilani.bits-pilani.ac.in; ashutosh.bhatia@pilani.bits-pilani.ac.in; kamlesh.tiwari@pilani.bits-pilani.ac.in 50 0 0 0 0 ELSEVIER AMSTERDAM RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS 0167-739X 1872-7115 FUTURE GENER COMP SY Futur. Gener. Comp. Syst. SEP 2023 146 234 249 10.1016/j.future.2023.04.018 http://dx.doi.org/10.1016/j.future.2023.04.018 MAY 2023 16 Computer Science, Theory & Methods Science Citation Index Expanded (SCI-EXPANDED) Computer Science I1SA6 2023-06-24 WOS:001000639600001
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Mobile crowdsensing; Blockchain; Publish-subscribe model; Security; Trust; Privacy
【发表时间】2023
【收录时间】2023-06-28
【文献类型】
【影响因子】7.032
【主题类别】
--
【Abstract】Blockchain technology has advantages of decentralization, traceability and tamper-proofing characteristics, supporting to solve the financial security, digital authentication and traceability obstacles in cross-border e-commerce (CBEC) industry. However, little research discusses the adoption behavior of blockchain technology in e-commerce sector. This paper shifts to the blockchain technology adoption in CBEC by formulating an evolutionary game model, consisting of CBEC platforms and the merchants. The decision-making behaviors of CBEC platforms and the merchants are analyzed and discussed regarding on blockchain technology adoption. Besides, the equilibrium solutions are derived, and the numerical simulation test is performed to discover the effect of segmental parameters on the blockchain technology adoption strategy. Results show that when platforms collect smaller profit proportion from merchant, they prefer to adopt blockchain technology, while the platform merchants tend not to blockchain technology adoption at initial stage. With the evolutional game, merchants tend to select blockchain technology strategy. When the platforms collect a higher information cost, both the CBEC platforms and merchants prefer to adopt blockchain technology. The evolutionary analysis and numerical test are performed to help better understanding blockchain technology adoption behavior and the blockchain technology application promotion.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Cross-border e-commerce platform; Blockchain technology adoption; Evolutionary game; Equilibrium analysis
【发表时间】2023
【收录时间】2023-06-28
【文献类型】
【影响因子】6.626
【主题类别】
--
【Abstract】The development of the Internet of Things (IoT) has opened up new horizons in the field of remote health data analysis to obtain smart healthcare. However, protecting patients' data privacy seems challenging because medical files are so sensitive. There are significant risks to data confidentiality associated with storing patient health information on third-party servers. The covid-19 epidemic also enhanced the need for a temperature sensor-based respiratory monitoring device. Sharing electronic health records can aid with diagnostic accuracy when privacy and security protection are important system challenges. Due to the benefits of immutability, blockchain has been suggested as a possible option to enable personal health data exchange with privacy and security protection. This work suggests a safe and privacy-preserving diagnostic enhancement strategy for e-Health platforms based on blockchain technology, which addresses the inadequacy of previous work in these regards. The proposed work proposes an effective access control system that would let data owners specify their preferred access controls over their privacy-sensitive medical data. Users could utilize their user transactions for key generation to efficiently cancel or add authorized doctors. Experimental data and security analyses demonstrate the proposed Health-chain's suitability for use in smart healthcare systems. The thorough experimental investigation demonstrates the blockchain's effectiveness of computing and time consumption as well as its resistance to numerous security assaults.(c) 2023 THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Alexandria University. This is an open access article under the CC BY-NC-ND license(http://creativecommons.org/ licenses/by-nc-nd/4.0/).
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】
【发表时间】2023
【收录时间】2023-06-28
【文献类型】
【Author】 Gupta, Purva Jha, Kumar Neeraj
【影响因子】6.415
【主题类别】
--
【Abstract】With recent advances in information and communication technologies, trust and collaboration have become imperative in the construction industry. The increasing exchange of digital information and assets without much regard to contractual requirements has resulted in various data corruption, privacy, and security issues escalating to claims and disputes. Hence, there is a need to institute reforms in the existing contracting system to achieve a more efficient, collaborative, and transparent system. However, little research has investigated the digitalization of the contracting process, which continues to be traditional. This study is one of the first to develop a digital and automated contract management system leveraging blockchain technology and smart contracts. Design science research methodology was adopted for the research work. The proposed system aims to achieve the following: (1) a decentralized permissioned network of stakeholders with well-defined roles and approval workflow, (2) automated contract execution based on predefined conditions using smart contracts, and (3) transaction history integrity with time stamps via a blockchain-based secured data structure. To exemplify these points, a use case is presented for implementing blockchain-based contract management in a construction megaproject. A conceptual model was developed illustrating the decentralized network of the key project stakeholders based in a Hyperledger Fabric blockchain environment. The roles and access controls of the stakeholders within the network are defined using the responsibility assignment [responsible, accountable, consulted, and informed (RACI) matrix]. A computable and automated smart contract clause is formulated for the price variation clause used in construction contracts. A prototype of the proposed system was developed and demonstrated to industry experts for evaluation and validation. Positive feedback from the experts concerning the system characteristics and user-friendliness of the prototype showed that it possesses the potential to improve trust and transparency in the existing system. Whereas the decentralized stakeholder network would add trust and accountability to the system, the underlying blockchain data structure would enhance security and traceability by providing an immutable and real-time record of the transactions. The study provides a workable solution that serves as a valuable reference for future research in the field of contract management across multiple sectors. Although the system is shown to be applicable and feasible in this study, it may not be economically viable. It could be optimized in the future through cost-benefit analysis for different projects.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Automation; Collaboration; Construction law; Stakeholder management; Smart contracts
【发表时间】2023
【收录时间】2023-06-28
【文献类型】
FT50 UTD24
【影响因子】6.172
【主题类别】
--
【Abstract】We study the optimal management of evolving hierarchies of revenue-generating agents. The initiator invests into expanding the hierarchy by adding another agent, who will bring revenues to the joint venture and who will invest herself into expanding the hierarchy further, and so on. The higher the investments (which are private information), the higher the probability of expanding the hierarchy. An allocation scheme specifies how revenues are distributed, as the hierarchy evolves. We obtain schemes that are socially optimal and initiator-optimal, respectively. Our results have potential applications for blockchain, cryptocurrencies, socialmobilization, and multilevel marketing.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】optimal allocation schemes; hierarchies; multi-level marketing; Nash equilibrium; blockchain
【发表时间】2022
【收录时间】2023-06-28
【文献类型】
【DOI】 10.1287/mnsc.2021.4185
【Author】 Guo, Chaopeng Liu, Yiming Na, Meiyu Song, Jie
【影响因子】5.561
【主题类别】
区块链应用-实体经济-食品领域
【Abstract】Blockchain techniques have been introduced to achieve decentralized and transparent traceability systems, which are critical components of food supply chains. Academia and industry have tried to enhance the efficiency of blockchain-based food supply chain traceability queries. However, the cost of traceability queries remains high. In this paper, we propose a dual-layer index structure for optimizing traceability queries in blockchain, which consists of an external and an internal index. The dual-layer index structure accelerates the external block jump and internal transaction search while preserving the original characteristics of the blockchain. We establish an experimental environment by modeling the blockchain storage module for extensive simulation experiments. The results show that although the dual-layer index structure introduces a little extra storage and construction time, it significantly improves the efficiency of traceability queries. Specifically, the dual-layer index improves the traceability query rate by seven to eight times compared with that of the original blockchain.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】traceability system; food supply chain; traceability query; blockchain; indexing
【发表时间】2023
【收录时间】2023-06-28
【文献类型】 实验仿真
【DOI】 10.3390/foods12112267
【影响因子】5.507
【主题类别】
--
【Abstract】Blockchain technology has been designed to improve the transmission of transparent information across a variety of industries and products. Yet, consumers tend to perceive product information provided by blockchain technology (vs. humans) as less credible. As this may not apply to all consumers, it becomes critical for companies to understand how to improve blockchain perceived credibility. This work investigates how individual differences and marketing actions shape consumer responses to product information provided by blockchain technology (vs. humans). Four controlled experiments demonstrate that consumers perceive the information provided by blockchain technology (vs. humans) as having less credibility, which in turn decreases word-of-mouth and intention to share information about the product on social media (Study 1). This effect is stronger for consumers with lower need for cognition (Study 2a), which in turn affects willingness to buy and actual behavior (Study 2b). Providing social proof-that is, the number of satisfied customers who recommend blockchain technology-increases blockchain perceived credibility (Study 3). These insights deepen the understanding of how individual differences shape consumer's responses to product information provided by blockchain technology and offer actionable insights on how to boost technology credibility.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】blockchain technology; individual differences; need for cognition; perceived credibility; purchase intention; social influence
【发表时间】2023
【收录时间】2023-06-28
【文献类型】
【DOI】 10.1002/mar.21855
【Author】 Akbari, Mohammadreza Kok, Seng Kiat Hopkins, John Frederico, Guilherme F. Nguyen, Hung Alonso, Abel Duarte
【影响因子】5.446
【主题类别】
--
【Abstract】PurposeThe purpose of the article is to contribute to the body of research on digital transformation among members of the supply chain operating in an emerging economy. This paper researches the digital transformation trends happening across Vietnamese supply chains, by investigating the current adoption rates, predicted impact levels and financial investments being made in key Industry 4.0 technologies.Design/methodology/approachBy using a semi-structured online survey, the experiences of 281 supply chain professionals in Vietnam were captured. Subsequently, statistical techniques examining variances in means, regression analysis and Monte Carlo simulation were applied.FindingsThe findings of this study offer a comprehensive understanding of Industry 4.0 technology in Vietnam, highlighting the prevalent technologies being prioritized. Big data analytics and the Internet of things are expected to have the most substantial impact on businesses over the next 5-10 years and have received the most financial investment. Conversely, Blockchain is perceived as having less potential for future investment. The study further identifies several technological synergies, such as combining advanced robotics, artificial intelligence and the Internet of things to build effective and flexible factories, that can lead to more comprehensive solutions. It also extends diffusion of innovation theory, encompassing investment and impact considerations.Originality/valueThis study offers valuable insights into the impact and financial investment in Industry 4.0 technologies by Vietnamese supply chain firms. It provides a theoretical contribution via an extension of the diffusion of innovation theory and contributes toward a better understanding of the current Industry 4.0 landscape in developing economies. The findings have significant implications for future managerial decision-making, on the impact, viability and resourcing needs when undertaking digital transformation.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Supply chain digitalization; Supply chain innovation; Industry 4; 0; Digital transformation; Management and implementation
【发表时间】2023
【收录时间】2023-06-28
【文献类型】
CCF-C
【影响因子】5.102
【主题类别】
--
【Abstract】This paper investigates a wireless blockchain network with mobile edge computing in which Internet of Things (IoT) devices can behave as blockchain users (BUs). This blockchain network's ultimate goal is to increase the overall profits of all BUs. Because not all BUs join in the mining process, using traditional swarm and evolution algorithms to solve this problem results in a high level of redundancy in the search space. To solve this problem, a modified chaotic Henry single gas solubility optimization algorithm, called CHSGSO, has been proposed. In CHSGSO, the allocation of resources to BUs who decide to engage in mining as an individual is encoded. This results in a different size for each individual in the entire population, which leads to the elimination of unnecessary search space regions. Because the individual size equals the number of participating BUs, we devise an adaptive strategy to fine-tune each individual size. In addition, a chaotic map was incorporated into the original Henry gas solubility optimization to improve resource allocation and accelerate the convergence rate. Extensive experiments on a set of instances were carried out to validate the superiority of the proposed CHSGSO. Its efficiency is demonstrated by comparing it to four well-known meta-heuristic algorithms.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchain; Classification; Mobile edge computing; Meta-heuristics; Henry gas algorithm; Resource allocation
【发表时间】2023
【收录时间】2023-06-28
【文献类型】
【影响因子】4.820
【主题类别】
--
【Abstract】The production and distribution planning problem, where incomplete information from the manufacturer factories is available to the distributor, is prevalent in the real world. Yet, researchers have not focused sufficiently on this field of research. Therefore, our paper offers a two-level multi-objective optimization of production and distribution planning for the two-stage supply chain based on the Data Envelopment Analysis method, which minimizes both the cost and the traffic congestion caused by the establishment of distributor warehouses. In addition, transparency through the blockchain technology and uncertain conditions through stochastic and fuzzy programming are considered in the supply chain design. The proposed model is first transformed by using Karush-Kuhn-Tucker into single-level linear programming and then solved by fuzzy goal programming. Next, the obtained solutions are measured and sorted in terms of efficiency. In this regard, the solutions are categorized in terms of cost-based strategies, traffic congestion, demand satisfaction, and optimality. For the purpose of enabling comprehensive supply chain management, the solutions are aggregated according to various strategies and the results show that two solutions are the most efficient, one focusing on cost and the other focusing on traffic congestion.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Production and distribution planning; Data envelopment analysis; Traffic congestion; Blockchain technology; Uncertain conditions
【发表时间】2023
【收录时间】2023-06-28
【文献类型】
FT50
【影响因子】4.551
【主题类别】
--
【Abstract】This research examines how the effort that consumers exert to earn money affects their risk tolerance. We theorize and find that working harder-that is, more effortful earning-increases perceived ownership and valuation of earnings, and thus aversion to losing them, resulting in lower risk tolerance, even when risk is associated with better expected outcomes. Documenting this causal negative effort-risk relationship is important because it (1) runs contrary to consumers' lay beliefs and population-level analysis which conversely suggest a positive effort-risk correlation (i.e., a Simpson's paradox, Experiment 2), (2) expands understanding of how the way in which people acquire money affects risk tolerance beyond classic research on windfall gains (i.e., unanticipated rewards) and house money (i.e., unrealized gains), and hence (3) reveals a unique mechanism of perceived ownership that drives this negative causal relationship. Leveraging this unique mechanism, we further show that this negative effort-risk relationship can be attenuated by changing the currency of the money that consumers earn to be one that consumers have low ownership over (e.g., Bitcoin for non-crypto users).
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】earning; effort; psychological ownership; risk taking; valuation
【发表时间】2023
【收录时间】2023-06-28
【文献类型】
【DOI】 10.1002/jcpy.1365
【影响因子】4.000
【主题类别】
--
【Abstract】Wine tourism, traditionally understood as an activity practised by adults, has been suggested as a tourism form also adequate and interesting for families with children. However, both literature and practice do not consider this segment to the extent it, arguably, may deserve. Many challenges are associated with the creation of wine tourism offerings for children. Even so, wine estates and destinations attract families, not only for their wine-related attributes but also for their rural and cultural appeal. In Central Portugal, the Dao and Bairrada wine routes cover tourist regions strongly linked to family tourism. Nevertheless, there is a lack of wine tourism offerings targeting this segment. Likewise, there are no know studies on wineries' managers perceptions of this market. Thus, this study aims to identify and analyse how wine estates and wineries from these wine routes cater to families with children, to understand the managers' perception of benefits and challenges of targeting this market, and to examine the existing child-friendly tourism supply. The results, derived from the content analysis of 29 interviews with wineries' managers, reveal that, despite an inclusive and receptive discourse towards the presence of children, the attractions still do not offer services and experiences specifically designed for this segment. Except for a few innovative attractions, families are welcomed with improvisations to entertain the little ones while their parents carry out wine-related activities.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Wine tourism; family tourism; children; inclusive tourism; wineries
【发表时间】2023
【收录时间】2023-06-28
【文献类型】
【Author】 Ceric, Anita Ivic, Ivona
【影响因子】3.850
【主题类别】
--
【Abstract】PurposeAs climate change has become a growing concern, sustainable development has become increasingly important. Emissions reduction is a key step for more efficient energy use. In the last few years, the residential building sector in Croatia has received financial support for multi-dwelling building energy efficiency retrofits (EERs). However, some of these projects encountered difficulties due to information asymmetry between the key participants. This study aims to address the problem from the perspective of the principal-agent theory, which is concerned with information asymmetry and the asymmetry's repercussions.Design/methodology/approachA social network analysis is conducted to reflect the operation and management (OM) details of Croatian multi-dwelling buildings. The key stakeholders of EER are mapped, along with the contractual and communication ties between them. Using the Gephi software, relationship data are visually represented and statistically evaluated.FindingsThe analysis indicated two different clusters or groups of stakeholders in EERs in Croatia and enabled the mapping of key relationships between stakeholders. The findings stress the importance of the key relationship between owner representatives (ORs) and property managers (PMs).Originality/valueThe contribution of this study is the development of framework for blockchain implementation in EERs, which can be adapted for use in different markets and/or projects. Blockchain is proposed for minimization of information asymmetry between different stakeholders. Blockchain enables communication and cooperation during project development and enhances trust among stakeholders.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchain; Communication; Energy efficiency retrofits; Multi-dwelling buildings; Principal-agent theory; Social network analysis; Croatia
【发表时间】2023
【收录时间】2023-06-28
【文献类型】
【影响因子】3.700
【主题类别】
--
【Abstract】In this paper, we present a solution to a design problem of control strategies for multi-agent cooperative transport. Although existing learning-based methods assume that the number of agents is the same as that in the training environment, the number might differ in reality considering that the robots' batteries may completely discharge, or additional robots may be introduced to reduce the time required to complete a task. Therefore, it is crucial that the learned strategy be applicable to scenarios wherein the number of agents differs from that in the training environment. In this paper, we propose a novel multi-agent reinforcement learning framework of event-triggered communication and consensus-based control for distributed cooperative transport. The proposed policy model estimates the resultant force and torque in a consensus manner using the estimates of the resultant force and torque with the neighborhood agents. Moreover, it computes the control and communication inputs to determine when to communicate with the neighboring agents under local observations and estimates of the resultant force and torque. Therefore, the proposed framework can balance the control performance and communication savings in scenarios wherein the number of agents differs from that in the training environment. We confirm the effectiveness of our approach by using a maximum of eight and six robots in the simulations and experiments, respectively. (c) 2022 Elsevier B.V. All rights reserved.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Cooperative transport; Multi-agent reinforcement learning; Event-triggered control; Consensus algorithm
【发表时间】2023
【收录时间】2023-06-28
【文献类型】
【Author】 Cao, Yifan Shen, Bin Chan, Hau-Ling
【影响因子】3.610
【主题类别】
--
【Abstract】Capital constraints are one of the major challenges for the supplier to invest in activities to enhance environmental and social responsibility (ESR) in production. Responsible buyer direct financing has emerged as an important solution to motivate supplier ESR by pegging the interest rate to the supplier's ESR level. Motivated by real practices, we develop game-theoretical models to explore the value of conducting blockchain-assisted due diligence to inspect the borrowing supplier's ESR qualification in a two-tier supply chain structure where the downstream buyer directly finances the capital-constrained supplier. Conventional wisdom tells us that driving greater supplier transparency (e.g., conducting blockchain-assisted due diligence) will motivate the supplier to strengthen environmental and social compliance. However, we identify the necessary and sufficient "backfiring condition" under which the blockchain-assisted due diligence may "backfire" by reducing the supplier's ESR efforts. The supplier devotes more ESR efforts if and only if the due diligence cost is sufficiently high. Our result implies that the heavy cost of adopting blockchain technology is not necessarily bad from the responsibility perspective as long as the backfiring condition does not hold. Moreover, we identify the Pareto zone in which conducting blockchain-assisted due diligence could benefit both supply chain members. We extend our model by examining the impact of a shift from profit orientation to social welfare orientation. Our findings provide managerial insights into the implementation of blockchain-assisted due diligence to enhance supplier ESR and improve supply chain members' profits. [Cao, Yifan; Shen, Bin] Donghua Univ, Glorious Sun Sch Business & Management, Shanghai, Peoples R China; [Chan, Hau-Ling] Hong Kong Polytech Univ, Dept Logist & Maritime Studies, Hung Hom, Hong Kong, Peoples R China Donghua University; Hong Kong Polytechnic University Shen, B (通讯作者)，Donghua Univ, Glorious Sun Sch Business & Management, Shanghai, Peoples R China. paula.caoyf@gmail.com; binshen@dhu.edu.cn; hauling.chan@polyu.edu.hk Cao, Yifan/0000-0002-8858-1609 National Science Foundation of China [72271050, 71832001] National Science Foundation of China(National Natural Science Foundation of China (NSFC)) Acknowledgments We thank the editor-in-chief, associate editor, and three reviewers for their constructive comments and helpful suggestions on improving this paper. This paper is partially supported by National Science Foundation of China (Grant Numbers: 72271050, 71832001). 42 0 0 0 0 WILEY HOBOKEN 111 RIVER ST, HOBOKEN 07030-5774, NJ USA 0969-6016 1475-3995 INT T OPER RES Int. Trans. Oper. Res. 2023 JUN 9 2023 10.1111/itor.13334 http://dx.doi.org/10.1111/itor.13334 JUN 2023 28 Management; Operations Research & Management Science Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI) Business & Economics; Operations Research & Management Science I5RI4 2023-06-24 WOS:001003347400001
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】buyer direct finance; capital-constrained supplier; blockchain; due diligence; supply chain management
【发表时间】2023
【收录时间】2023-06-28
【文献类型】
【DOI】 10.1111/itor.13334
【Author】 Chen, Ting Li, Yongjian Xu, Fangchao
【影响因子】3.610
【主题类别】
--
【Abstract】Blockchain can help reduce fraud and improve visibility and traceability in supply chains. It has attracted significant investments in commercial practices, especially in the luxury industry. With the recent upgradation of consumption worldwide, consumers care more about the source of information and the value of products. Will tracing products using blockchain technology help competing luxury brands gain consumer trust and cultivate new competitive advantages? This paper proposes a supply chain model comprising two competing manufacturers selling online through retail or direct channels. It also explores whether and how manufacturers implement traceability strategies, including building traceability systems or joining third-party blockchain platforms, considering blockchain's traceability. The results show that, when only one party adopts the traceability strategy, being the first mover to join a third-party blockchain platform with high traceability is always beneficial for improving the profits of all parties. In this scenario, the blockchain platform should adopt as high traceability as possible. When both parties choose to trace the product source, a win-win strategy for them is to join third-party blockchain platforms with low traceability. In this scenario, the untraced party is motivated to implement a traceability strategy. Furthermore, if consumer perceptions of traceability are high, an untraced manufacturer can obtain higher profits using the traceability strategy. Otherwise, low consumer perception of traceability leads to low-price competition, which is harmful to luxury brands.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】blockchain; traceability; competing supply chains; strategy choice
【发表时间】2023
【收录时间】2023-06-28
【文献类型】
【DOI】 10.1111/itor.13332
【Author】 Choudhary, Deepak Pahuja, Roop
CCF-C
【影响因子】3.488
【主题类别】
--
【Abstract】Both technical and commercial businesses have become increasingly interested in blockchain technology. The Internet of Things (IoT) was established out of the interconnectedness of numerous new technologies, such as wireless technology, the Internet, embedded automation systems, and micro-electromechanical devices. Manufacturing settings and activities have been successfully altered into the fourth industrial revolution, known as Industry 4.0, by applying cutting-edge technologies such as cloud computing (CC), cloud service provider (CSP), Information communication technologies (ICT), and Enterprise Model, as well as other technological advancements. Data management is characterized as acquiring data to make better business decisions; data about a corporation is processed, secured, and stored. In the early notion, there were connected contrivances and Machine-to-Machine (M2M) interactions, and transaction data is recorded on the Blockchain. Security is a challenging subject that must be carefully considered throughout a CSP's design and development phases. By focusing on such issues while taking into account the traditional characteristics of IoT/ IIoT-predicated environments, we proposed a Secure and Distributed Framework for Resource Management (SDFRM) in Industry 4.0 environments within a distributed and collaborative Industry 4.0 system, the dynamic and trust-based Distributed Management Framework (DMF) of shared resource access, in this research article. Furthermore, to offer strong privacy assurances for Access Control (AC)-equivalent actions, a privacy-preserving approach is devised and implemented into the Distributed Management Framework (DMF). Based on blockchain technology and peer-to-peer networks, the recommended DMF provides for dynamic access control and system governance without relying on third-party vulnerabilities. A privacy-preserving technique is presented and implemented into the DMF to give adequate privacy safeguards for AC-related processes. With an average throughput of 98.15 percent, our proposal exceeds the Multichannel Blockchain regarding successful storage transactions.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Internet of things; Blockchain; Data privacy; Security system; Distributed management; IIoT
【发表时间】2023
【收录时间】2023-06-28
【文献类型】
【Author】 Kumar, Ravinder Malik, Amita Ranga, Virender
【影响因子】3.310
【主题类别】
--
【Abstract】The Internet of Things (IoT) provides a way to reach every hidden corner of the universe and provides valuable information for exploring the universe. With the advancement of hardware and computing technologies, IoT systems are developed based on systematically designed architectures. This paper discussed the routing protocol for low power lossy network (RPL) protocol's security vulnerabilities and proposed solutions. This review provides the main aspects of an IoT stack model with application, perception, and network layers. Then, the details and security concerns of the RPL protocol are given with the comparison of different frameworks. Different kinds of attacks, such as Wormhole, Sinkhole, and Denial of service attacks, are provided with the solution of defense-based, threshold-based, and trust-supported based cryptography. Also, reviewed IoT security literature and focused on IoT security challenges and their solutions using emerging technologies like Machine Learning (ML), Blockchain, and Cloud Storage. A comparison and analysis of emerging technologies in the context of IoT security are also discussed. Due to the vulnerability of IoT devices, the scale of deployment, the attacks and suggested solutions are increased with scope and scale. In addition, related RPL-based protocols are compared regarding energy efficiency, flexibility, scalability, robustness, and security. In the end, research challenges are identified, and future research direction for IoT security is suggested.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】
【发表时间】2023
【收录时间】2023-06-28
【文献类型】
【DOI】 10.1002/ett.4798
【影响因子】3.310
【主题类别】
--
【Abstract】The potential uses in the Internet of Things (IoT), blockchain is gaining prominence. It is particularly skillful at storing data in immutable blocks, which is connected to its protected peer-to-peer architecture in the face of a growing challenge of transaction authorization in industrial and service-provider applications. IoT is prolonged to several additional applications as a result of its integration with various technologies, allowing direct engagement with our individual and professional lives. The major aim of this study is to provide the security based IoT data communication in blockchain using novel techniques. The device's security is a significant concern. However, on-demand security solutions have issues since devices have limited processing and energy resources. IoT devices do not allow for the use of large, costly systems. In order to address these issues, we present a novel optimized fuzzy architecture for a blockchain-based IoT device data exchange and communication in this research. The TLBO method is used to improve decision-making capabilities, while the Mamdani fuzzy inference system makes the majority of the decisions. To construct the two input variables (drop ratio and integrated trust level) and reduce the dimensionality of the input information, the TLBO method was used. We examine and illustrate the efficacy of our method with another state-of-art method. Based on the experiment, we have obtained 1.8, 2.1, 2.8, 3.2 and 3.8 ms computational time based on the number of users from 2 to 10, respectively. The proposed method attains 96% accuracy and 95.4% F-score results than other previous methods.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】
【发表时间】2023
【收录时间】2023-06-28
【文献类型】
【DOI】 10.1002/ett.4793
【影响因子】2.775
【主题类别】
--
【Abstract】To provide a comprehensive review of cloud manufacturing (CM) adoption, this study performed a systematic literature review of 111 journal papers on CM adoption that were published from 2012 to 2022. The SCOPUS database was selected for the search of papers, followed by the Title-Abstract-Keyword principle for screening the papers that resulted in the 111 most relevant papers for the review. To better understand the CM adoption studies, identified papers were categorized into three main categories and eight sub-categories. The critical review of CM adoption studies reveals that, in the last decade, CM implementation across the manufacturing sector has been significant. In recent years, successful integration of the CM platform with various technologies, such as blockchain, big data analytics, and IIoT has been observed. On the other hand, lack of technology awareness, lack of access to a skilled workforce, and lack of strategies for digital technology adoption are identified as major concerns for its adoption across emerging economies. This comprehensive review can guide research scholars and practitioners to explore various development trends and recent advances in CM adoption. It is worthwhile to note that the existing research on CM has yet to analyze the tools and techniques used in CM adoption studies. This preliminary research is believed to be of its kind exploring and analyzing a comprehensive review of CM adoption, including various categories and analysis of tools and techniques used.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Cloud manufacturing adoption; Systematic literature review; Case study; Hardware implementation; Managerial survey; Simulation; Tools and techniques
【发表时间】2023
【收录时间】2023-06-28
【文献类型】
【Author】 Shen, Tao Li, Tianyu Yu, Zhuo Bai, Fenhua Zhang, Chi
【影响因子】2.557
【主题类别】
--
【Abstract】Blockchain is an innovative application of distributed storage, consensus mechanism, cryptographic algorithm, and other computer technologies. As the underlying architecture of blockchain, consensus is the key to realizing service-oriented applications of blockchain in terms of its security, efficiency, and scalability optimization. In some high-complexity consensus, such as Practical Byzantine Fault Tolerance (PBFT), throughput is severely reduced as the number of nodes increases. Even in low-complexity algorithms such as Raft, the load on the leader is severely affected as the network size increases, negatively affecting consensus efficiency. To solve these problems, we propose a node reliable shard model based on guarantee tree that achieves high scalability while maintaining a certain degree of decentralization and security based on consortium blockchain. Firstly, we create a guarantee mechanism to represent the trust relationship between nodes, and then, we design a reliable node selection strategy based on the guarantee mechanism to evaluate the node guarantee results and consensus behavior, determine the node trust status, and identify malicious nodes and choose a list of trusted leaders. Secondly, we propose a Dual-Leaders supervision mechanism, in which the deputy senses the heartbeat of leader while the deputy activity is detected by consensus nodes. Finally, we use a guarantee mechanism and reliable node selection strategy to design a network partitioning method to achieve high concurrent consensus for multiple partitions and significantly improve consensus efficiency. Subsequent experiments show that the throughput of the proposed algorithm improves by 48% over Raft and is significantly greater than PBFT, which has better throughput but lower consensus latency.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchain; Consensus; Shard; Leader election; Guarantee tree
【发表时间】2023
【收录时间】2023-06-28
【文献类型】
【影响因子】1.831
【主题类别】
--
【Abstract】Cloud computing is considered as the most fabulous paradigm to accommodate various kinds of user information. However, the privacy conflicts integrated with computational complexities need more hybridized resource efficiency for hassle-free accession. For this purpose, this article presents a cloud assisted, secured and privacy preserved protocol based on the elliptical curve cryptography (ECC) and blockchain consortium. Blockchain provides an innovative approach for storing information, establishing trust, and various other transactions in an open platform. There exists no single technology as a panacea to obtain optimum privacy and security in the complex cloud environment that needs several desired characteristics. Hence, an elite integration of multiple cryptographic methods by carefully analyzing the potential harms and pitfalls has to be framed to balance the trade-off between privacy and security. The proposed technique highlights the user privacy preservation through guaranteeing that user information is safeguarded from unauthorized use or access. In accordance with that the present study enrolled the advantages of the ECC algorithm, vectorization, and blockchain methods to rule out the limitations of state of art methods. This article attempts to provide the most required privacy with optimum key generation, encryption, and decryption time. The present study has obtained optimal outcomes and the maximum percentage reduction w.r.t the existing method in key generation time, encryption time, and decryption time is given as 14.89%, 16.67%, and 12.5%, respectively.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】block chain; cloud computing; decryption; ECC; encryption; key generation; Merkle tree; vectorization
【发表时间】2023
【收录时间】2023-06-28
【文献类型】
【DOI】 10.1002/cpe.7829
【影响因子】1.583
【主题类别】
--
【Abstract】Emotion recognition through physiological signals is of great importance for the examination of psychological states and the development of biofeedback-based applications. Thanks to the emergence of the concept of metaverse and the integration of physiological signal trackers into smart devices, this field of study has become a necessity and a subject of interest to researchers. In this study, an algorithm is proposed for emotion detection according to the two-category (valence-arousal) emotion model. ECG signal recordings from the MAHNOB-HCI database were used in the study. First, the noise on the ECG signals is eliminated in the preprocessing step. R peaks were detected by applying the Pan-Tompkins algorithm to the preprocessed ECG signals. Then, for each recording, the P-QRS-T fragment and the maximum and minimum values of the P, Q, R, S, and T waves were obtained as morphological features and combined with selected heart rate variability features to obtain a feature vector. By applying an automated feature engineering algorithm to this feature vector, new feature vectors with increased weight of distinctive features and increased number of samples are obtained as output. These features are classified with three different learning algorithms: support vector machines, feedforward neural network, and bidirectional long short-term memory. As a result of the study, good results were obtained with the bidirectional long short-term memory algorithm compared to the literature. According to these results, with bidirectional long short-term memory, the accuracy obtained was 78.28% for the valence category and 83.61% for the arousal category.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Emotion detection; Machine learning; Deep learning; ECG; Automated feature engineering; BiLSTM
【发表时间】2023
【收录时间】2023-06-28
【文献类型】
【Author】 Wang, Ziqi Bai, Yang
【影响因子】1.379
【主题类别】
--
【Abstract】As environmental protection becomes increasingly important, so does the significance of incorporating the recycling manufacturing model into the supply chain. Meanwhile, addressing supply chain disruption is imperative in the supply chain. To understand the relationship between remanufacturing and supply chain disruption, we studied the effect of supply chain disruption, remanufacturing, blockchain technology, and government subsidies on preventing supply chain disruption in the second period. There have two models in the following discussion. In the local market, a manufacturer M manufactures and recycles products for remanufacture in the second stage. At the same time, retailer R is responsible for the sales of products. We also add government subsidies and blockchain technology, discussing those roles in preventing supply chain disruptions in the second period. Blockchain technology and government subsidies are equally crucial in averting disruptions during the second period, although they may only provide partial protection against supply chain disruption.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】
【发表时间】2023
【收录时间】2023-06-28
【文献类型】
【DOI】 10.1002/mde.3932
CCF-C
【影响因子】1.345
【主题类别】
--
【Abstract】High-frequency systems (HF) are still used in many communication applications, especially at long distances, due to their robustness. Data can be sent for hundreds of kilometres at a low power cost with only one drawback, low bitrate. To increase the bitrate, several methods were reported using the single-tone modulation with 24 kHz bandwidth, but still not practical in real-time applications because, the 24 kHz is unavailable due to the instability of the ionosphere layer. Here, a structured method built on the non-orthogonal multiple access technique (NOMA) is proposed to increase the bit rate per HF narrowband channel. To increase the data rate, two parts of the data are divided and sent to one user over two different power levels. Since the ionosphere conditions prohibit the use of single-tone channels most of the time, spread narrowband channels are used instead. The NOMA technique is used on the receiver's side to recognize the two parts of data. The results show a significant improvement (up to 45%) using NOMA in narrowband 3 kHz channels. The bit rate at the receiver has increased up to 200 kb/s concerning, while the maximum bit rate recorded by conventional methods used in previous studies is 138 kb/s. Combined with multichannel algorithms such as HF XL, the total increase in bit rate can be considerable. The system is built on the SDR platform and tested in multiple channels, weather, and power conditions in real-time experiments to validate its reliability.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】blockchain; hash chain; identity authentication; network security; network security code
【发表时间】2023
【收录时间】2023-06-28
【文献类型】
【DOI】 10.1049/cmu2.12632
CCF-C
【影响因子】0.000
【主题类别】
--
【Abstract】Cloud data auditing is essential to ensure the integrity of cloud data. The main idea of cloud auditing is to entrust the audit task to a third-party auditor (TPA) with powerful computing ability. However, TPA may lead to data leakage and become the single point of failure. Recently, blockchain has been introduced to solve these problems by TPA. However, the dynamic storage structure developed by traditional cloud storage does not apply to the blockchain. This paper proposes a blockchain-based collaborative public auditing scheme for dynamic data. We design the cloud service provider(CSP) to generate a challenge set using the latest block hash. It does not need to interact with the blockchain in the challenge phase, dramatically reducing communication overhead. In addition, considering economic factors, we allow users to seek partners to reduce audit costs. The EigenTrust model evaluates the reputation of each user's audit behaviour, effectively avoiding the probability of malicious users participating. For data update, we introduce the Pseudo Index Linked List(PIL) index management structure, which reduces the size of the index management structure to adapt to the blockchain's characteristics and makes the update operation have a constant time complexity. Through a complete security analysis and performance evaluation, we proved the security and effectiveness of the scheme.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Cloud storage; blockchain; public auditing; reputation system; dynamic auditing
【发表时间】2023
【收录时间】2023-06-28
【文献类型】
【影响因子】
【主题类别】
--
【Abstract】Blockchain, a type of distributed ledger technology, has revolutionized the digital economy such as cryptocurrencies and supply chain management with its transparency, immutability, and decentralization properties. In addition, smart contracts are introduced to the blockchain to provide programmability removing third parties for administration. Although promising, blockchains and smart contracts are closed technologies meaning they have no interaction with the external world where real-world data and events exist, i.e., off-chain data. It becomes more challenging when the off-chain data is unstorable onto the blockchain due to data volume and privately maintained by third parties for security and confidentiality. In this paper, we address the problem of enabling a private blockchain platform to access privately owned sensitive off-chain data (i.e., DNA fingerprinting). This off-chain data is used for the traceability of products (i.e., products' origin) along the supply chain with a real-world livestock use case. To this end, we present a livestock blockchain oracle (LBO) as a service to mitigate the accessibility issue and automate the process of verifying purchasable products for livestock DNA fingerprinting verification. We have conducted an evaluation study using real-world livestock data from third-party service providers. Results based on the livestock product information and registered DNA service providers show that LBO is a reliable and responsive decentralized oracle blockchain for verification.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchain; Smart contracts; Blockchain oracles; DNA fingerprinting service
【发表时间】2023
【收录时间】2023-06-28
【文献类型】
【影响因子】
【主题类别】
--
【Abstract】Motifs are small subgraph patterns that play a key role towards understanding the structure and the function of biological and social networks. The current de facto approach towards assessing the statistical significance of a motif M relies on counting its occurrences across the network, and comparing that count to its expected count under some null generative model. This approach can be misleading due to combinatorial artifacts. That is, there may be a large count for a motif due to multiple copies sharing many vertices and edges connected to a subgraph, such as a clique, that completes the multiple copies of the motif. In this work we introduce the novel concept of an (f, q)-spanning motif. A motif M is (f, q)-spanning if there exists a q-fraction of the nodes that induces an f-fraction of the occurrences of M in G. Intuitively, when f is close to 1, and q close to 0, most of the occurrences of M are localized in a small set of nodes, and thus its statistical significance is likely to be due to a combinatorial artifact. We propose efficient heuristics for finding the maximum f for a given q and minimum q for a given f for which a motif is (f, q)-spanning and evaluate them on real-world datasets. Our methods successfully identify combinatorial artifacts that otherwise go undetected using the standard approach for assessing statistical significance. Finally, we leverage the motif structure of a network to design MOTIF-SCOPE, an algorithm that takes as input a graph and two motifs M-1, M-2, and finds subgraphs of the graph where M-1, M-2 occur infrequently and frequently respectively. We show that a good selection of M-1, M-2 allows us to find anomalies in large networks, including bipartite cliques in social graphs, and subgraphs rated with distrust in Bitcoin markets.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Motifs; Graph mining; Statistical significance; Anomaly detection
【发表时间】2023
【收录时间】2023-06-28
【文献类型】
【Author】 Leal, Matheus Pisani, Flavia Endler, Markus
【影响因子】
【主题类别】
--
【Abstract】Movement tracking information can reveal much about the daily operation of companies. Several applications can benefit from recording the physical places a mobile entity visits and how long it stays at each position. This paper discusses the need for an Available, Reliable, Transparent, Immutable, and Irrevocable service for Mobility Records (ARTIIMoR). We present an approach to recording spatio-temporal presence information in a reliable, immutable, and scalable way using a multilayer Distributed Ledger Technology (DLT) architecture for storing location information in variable levels of abstraction and aggregation. We implemented this multilayer solution as a middleware service that uses Complex Event Processing on smartphones to efficiently record nearby place-specific beacons in a DLT. We compare the performance of inserting data in the IOTA, Ethereum, and Hyperledger DLTs, the impact that different data aggregation techniques have on insertion performance, and the effect of the multilayer approach on data query performance.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】component; formatting; style; styling; insert
【发表时间】2022
【收录时间】2023-06-28
【文献类型】
【影响因子】
【主题类别】
--
【Abstract】Blockchain-based Federated learning, called BFL, has attracted widespread attention to construct trust among multiple parties and solve a single point of failure of the central server while protecting privacy. Many researches utilize cluster and cross-chain technologies to improve poor model quality and interoperability between clusters. However, those researches still suffer from 1) high communication overhead when devices of clusters locate far away, and 2) high consensus latency since devices require frequent interactions on consensus. In this paper, we propose a cross-cluster federated learning framework based on state channels, called SCFL, to split devices into multiple clusters according to locations. We also propose a cross-cluster consensus algorithm based on cross-chain and state channels to improve the security and efficiency of off-chain and interchain interactions. And we also propose a hierarchical clustering method to make the model adaptable to the partition scenarios where the data is non-IID. Numerical results show that SCFL can effectively solve data sparse problems and improve the system efficiency in non-IID data partitioning cases.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Federated learning; Blockchain; State channels; Cross-chain; Cluster
【发表时间】2023
【收录时间】2023-06-28
【文献类型】
【Author】 Gao, Ningjie Huo, Ru Wang, Shuo Huang, Tao
【影响因子】
【主题类别】
--
【Abstract】Blockchain has been widely used to solve data privacy and security issues in edge computing scenarios. However, the blockchain based on edge computing still has some performance problems, such as insufficient scalability, difficulty in balancing security and edge device power consumption, and inability to simultaneously meet low latency, high throughput, high security and privacy issues, etc. In order to solve these problems, this paper proposes a generally improved Byzantine consensus mechanism based on the K-medoids clustering algorithm - FIBFT. Considering the different performance characteristics of each node in the network, the node's state is first abstracted into a multi-dimensional state space containing eigenvalues, and then the nodes are divided into subnets by the efficient K-medoids clustering algorithm. Each subnet uses a Byzantine consensus mechanism based on arbitration for consensus and data interaction, and the consensus data could be exchanged between the subnets without interfering with the consensus process. The research results show that FIBFT has better scalability and throughput while ensuring high security compared with the traditional Byzantine consensus algorithm.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchain; Edge Computing; Clustering Algorithm; Byzantine Consensus Mechanism
【发表时间】2023
【收录时间】2023-06-28
【文献类型】
【作者】 钟红;赵雪情;
【作者单位】中国银行研究院;
【文献来源】中国外汇
【复合影响因子】
【综合影响因子】
【主题类别】
区块链治理-市场治理-数字货币
【摘要】在全球一体化背景下，央行数字货币从国内使用逐步切换至国际舞台，形成一个集货币、支付与金融服务于一体的世界联通网络，正在对国际货币体系带来深远影响。当前，世界正在经历前所未有的大变革，数字经济蓬勃发展，新技术加速各行各业数字化转型。作为生产关系的缩影，货币体系随着经济社会结构变化而革新，走向数字化发展阶段。央行数字货币（CBDC）的快速发展，将加速国际货币体系调整，开辟全球货币竞争与合作新局面。
【关键词】央行数字货币;竞争与合作;
【文献类型】 理论性文章
【发表时间】2023-06-28
【作者】 刘祚祥;赵紫微;
【作者单位】长沙理工大学经济与管理学院;
【文献来源】华南理工大学学报(社会科学版)
【复合影响因子】
【综合影响因子】
【主题类别】
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【摘要】农村金融创新可以遵循制度创新与技术进步两条不同的路径进行，从技术进步的视角来研究农村金融缔约的信息结构演变，为农村金融体系的诱致性创新提供了新的路径选择。通过构建“金融机构-农户”的演化博弈模型，从理论上推导出区块链技术引入前后农户和金融机构的演化稳定策略，然后运用matlab进行仿真实验，对影响博弈双方策略选择的关键因素进行验证。研究表明，区块链技术的去中心化、非对称加密、智能合约、共识机制等技术特性，不但能够提高农地经营权抵押效率，而且能够改善信贷合约缔结的信息结构，降低金融机构的贷款成本，增强农户违约受损的防御程度和诚信度，从而提高农村金融市场效率，满足农村农业经营主体的资金需求。
【关键词】农村金融创新;;区块链技术;;信息结构;;演化博弈
【文献类型】
【发表时间】2023-06-28